Categorical data (or variable) consists of names representing categories. For example, the gender (categories of male & female) of the people where you work or go to school; or the make of cars in the parking lot (categories of Ford, GM, Toyota, Mazda, KIA, etc) is categorical data. Numerical data (or variable) consists of numbers that represent counts or measurements. For example, the number of males & females where you work or go to school; or the number of the make of cars Ford, GM, Toyota, Mazda, KIA, etc is numerical data.
Basically categorical variable yield data in the categories e.g sex (male, female), modes of transport (Bus, railway, etc) and numerical variables yield data in numerical form e.g. age (0-100), number of accident on a certain highway (0,1,2,..).
The difference between these both is that the control is what stays the same in an experiment and the variable is what changes.
It is just a factor or categorical variable. On the other hand for instance, If your age is continuous (rather than age brackets) then it would be a covariate. If your age is given as age-brackets, then it wont be covariate.
categorical data is data that can be assigned to distinct non-overlapping categories. ex: What cell phone provider do you use? response: {Telus, Bell Aliant, Telus, Bell Aliant, Rogers,Rogers,Koodo, Rogers, Telus Rogers}. The responses to question one fit into four categories numerical data set is when the data is compromised of numbers, specifically different amounts of money. ex: What was your cell phone bill for the previous month? response:{$27.50, $33.50, $45.70, $32.00, $54.90, $29.00, $43.65, $67.40, $35.89, $$39.67}.
a control is a object that cant be changed in an experiment and a variable is a object that can be changed in a expirament
Basically categorical variable yield data in the categories e.g sex (male, female), modes of transport (Bus, railway, etc) and numerical variables yield data in numerical form e.g. age (0-100), number of accident on a certain highway (0,1,2,..).
The variable.
The variable.
A categorical variable (also known as a discrete variable) is one whose range is countable; e.g. the variable answ has values [yes, no, not sure]. answ is a categorical variable with range 3.A continuous variable is one which is not categorical; e.g. weight is a continuous variable which can take any value between 0 and 1000 kg (say) for a human being.
A dummy variable assumes a value of either 0 or 1. A categorical variable assumes one of a usually small number of values. For example, a categorical variable might assume the values 'F' or 'M' for female or male.
A variable expression includes variables.
A variable is a part of a term which can change. A coefficient is a numerical constant, associated with a variable. For example, in the term 3x^2 , 3 is the coefficient, while x is a variable.
difference between fixed and variable inputs
Numerical expressions solely include numbers, while algebraic expressions may contain a variable like x. An example of a numerical expression is 1+2 and an example of an algebraic expression is 2x+3y=0.
A continuous variable is one which can take any numerical value over some interval. An ordinal variable is one that can take non-numerical or categoric values which can be put into some logical order but where the difference between successive categories cannot be quantified. One example may be Small-Medium-Large, or a popular one among opinion pollsters: Disagree Strongly-Disagree-Agree-Agree Strongly.
Numerical data is numbers. Non-numerical data is anything else.
The difference between a variable resistor and a rheostat is the same as the difference between six and half a dozen.